LLM Tools

Cindy is an open-source AI agent that integrates multiple AI models and harnesses into a single, ready-to-use system. It solves the problem of fragmented AI tools by providing a unified agent that can switch between models and harnesses mid-task without losing context, enabling real work completion in projects and apps. It's designed for developers and teams who need a powerful, configurable, and continuous AI assistant that is both immediately usable and adaptable over time.

Specialized AI model hosting for open, proprietary, and custom stacks. Hosted open models, optimized proprietary endpoints, and turnkey deployment to real users.

freehire is an open-source search engine that indexes tech jobs directly from company career boards, deduplicates them, and tags them by stack, seniority, and location. It solves the problem of fragmented, walled-garden job boards by providing a free, comprehensive, and programmatic catalogue. It's built for job seekers who want to search from the terminal, developers building job-application agents, and anyone who prefers data-driven, transparent hiring tools over traditional platforms.

vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). It solves the problem of expensive and inefficient LLM deployment by maximizing hardware utilization with features like PagedAttention and continuous batching, drastically reducing inference costs. It's designed for developers and organizations who need to deploy a wide range of open-source LLMs easily and affordably on any hardware, offering a drop-in OpenAI-compatible API for instant integration.

Graphify transforms any codebase—including its docs, SQL schemas, configs, and PDFs—into a deterministic, queryable knowledge graph. It solves the problem of fragmented, hard-to-navigate software knowledge by creating a single, persistent map of all code and documentation, enabling engineers to get evidence-backed answers and see the impact of changes instantly. It's built for developers and teams in regulated or complex environments who need auditable understanding and want to run the parsing engine fully on-device, without uploading code or relying on vector stores.

Headroom is a context optimization layer that compresses tool outputs, logs, files, and RAG chunks before they reach an LLM. It solves the problem of high token costs and slow response times caused by verbose agent outputs and retrieved data. It's for developers and teams building AI agents, coding assistants, and RAG applications who want to reduce costs and latency without changing model behavior.

TokenSpeed is a high-performance LLM inference engine built from the ground up for agentic workloads like AI coding assistants. It solves the critical efficiency problem at data-center scale by maximizing throughput per GPU through a compiler-backed parallelism model and a high-performance scheduler. It is designed for organizations deploying large-scale, token-intensive AI applications where inference speed and resource efficiency directly impact cost and capacity.

Open WebUI is a user-friendly, self-hosted platform that gives you complete control over your AI stack. It solves the problem of vendor lock-in and data privacy by allowing you to connect any AI model (local or cloud) and run it on your own hardware. It's built for developers, enterprises, and the open-source community who want to extend AI with Python, share tools, and protect their data without compromise.

LiteLLM is an open-source AI Gateway and Python SDK that provides a single, unified interface to call over 100 different LLM APIs (like OpenAI, Anthropic, and Bedrock) using the OpenAI format. It solves the problem of API fragmentation and complexity by offering consistent calling patterns, built-in load balancing, cost tracking, and logging across all providers. It's designed for developers and organizations building AI applications who need reliability, observability, and flexibility without being locked into a single vendor.

PageIndex is an open-source document indexing system designed for vectorless, reasoning-based retrieval-augmented generation (RAG). It solves the problem of getting verifiable, context-rich answers from complex documents by using fast tree indexing instead of traditional vector search. It's built for developers and teams who need precision, traceability, and efficient context retrieval for their AI applications.

TSP是一个自托管、零运维的A股量化工作台，集成了选股、实时监控与策略回测功能。它利用LLM能力驱动策略定制、个股分析和复盘，解决了个人投资者缺乏专业量化工具和运维复杂性的痛点。该平台允许自由接入第三方数据源并进行个性化扩展，适合对A股市场有兴趣、希望进行系统化投资分析的个人开发者和量化爱好者使用。

Starnet is a local-first desktop application that lets you run and manage real AI agents that perform actual work. It solves the problem of opaque, cloud-dependent AI tools by giving you full control—you bring your own API keys and watch your crew execute tasks directly on your machine. It's built for developers and tinkerers who want a transparent, customizable, and visually engaging interface for their autonomous AI workflows.

PanWatch 是一个自托管的 AI 盯盘助手，集成了 TradingAgents 多智能体投资决策框架。它解决了投资者需要手动、持续监控多个市场（A股/港股/美股）的痛点，通过实时监控、持仓管理、智能分析和全渠道推送，自动化执行盯盘与决策任务。它适合希望将投资监控流程自动化、智能化，并注重数据隐私与自主控制的个人投资者及交易团队。

Strands Harness is an SDK for building, controlling, and deploying production-ready AI agents. It provides a fully assembled, state-of-the-art agent harness with optimized defaults for tools, memory, and context management, so developers can focus on their agent's unique logic instead of infrastructure. It's designed for developers and teams building reliable, controllable AI agents that need to go from prototype to production.

AutoClip 是一款智能视频剪辑工具，它利用大语言模型分析视频内容，自动识别并剪辑出精彩片段，生成切片和合集。它解决了从长视频中手动寻找和剪辑高光片段耗时耗力的问题，全程在本地处理，保护隐私。这款工具专为内容创作者、知识分享者以及任何需要从长视频中快速提取精华内容的用户设计。

Paperless-ngx is an open-source document management system that scans, indexes, and archives your physical documents into a secure, searchable digital archive. It solves the problem of paper clutter by using OCR to make scanned documents fully searchable and organizing them with tags and categories. It's ideal for individuals, families, and businesses who want to go paperless while keeping their data private and under their own control.

Higgsfield is a fault-tolerant, highly scalable GPU orchestration platform and machine learning framework. It solves the immense complexity of training and deploying models with billions to trillions of parameters across large, distributed clusters. It is designed for AI researchers, engineers, and organizations pushing the boundaries of large-scale model training who need robust, production-ready infrastructure.

WeKnora is an open-source platform that turns your raw documents and data into a powerful, queryable knowledge base. It solves the problem of scattered, static information by creating a dynamic system that can answer questions via RAG, reason autonomously, and maintain itself like a wiki. It's built for developers, teams, and organizations who need to unlock the value trapped in their documents and build intelligent knowledge applications.

This repository is a curated collection of extracted system prompts from leading AI models like Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and others. It addresses the problem of opaque AI behavior by revealing the foundational instructions that guide these systems, providing transparency for researchers, developers, and enthusiasts. The collection is regularly updated, serving as a valuable resource for anyone interested in understanding, comparing, or reverse-engineering how these AI models are fundamentally directed to operate.

MathModelAgent是一款专为数学建模竞赛和课程训练设计的AI工具。它通过多智能体协作，自动完成从题目分析、模型建立、代码求解到论文撰写的完整工作流，生成可直接提交的完整论文。它面向参加数学建模竞赛的学生、进行课程训练的师生以及需要快速生成建模论文初稿的研究者，旨在将重复劳动自动化，让用户更专注于策略与创新。

Prompts.chat is a social platform and library for generative AI prompts. It solves the problem of prompt discovery and management by providing a community-driven space to share, find, and organize effective prompts. It's designed for AI enthusiasts, developers, teams, and organizations who want to leverage collective knowledge while maintaining the option for complete privacy through self-hosting.